| TMQU29 | Six Sigma Quality, 4,5 ECTS credits. /Six Sigma Quality/ |
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Prel. scheduled
hours: 34 |
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Area of Education: Technology Subject area: Mechanical Engineering, Industrial Engineering and Management |
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| Advancement level
(G1, G2, A): A
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| Aim: The course gives knowledge about organization, work methods and tools for process and product improvements by using Six Sigma methodology. After having completed the course, the student is able to:
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) Quality development, basic course, Mathematical statistics Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The theoretical phases of the course are to be carried out in the form of seminars and exercises. In order to impart a practical connection to the course content the knowledge is applied by means of a number of group projects and discussions of case studies. In addition, a number of visiting lecturers will illuminate practical cases of current interest. |
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| Course contents: Six Sigma Quality strategies have successfully been implemented by organizations such as Motorola, GE, Siemens, and ABB. The Six Sigma Quality improvement strategy employs several different techniques and methods in order to measure, analyze, and improve the variability in processes and products. The term Six Sigma is used to describe variability within a process or a product. One important measurement to show variability is defects per unit. The sigma quality level is an indicator of how often defects are likely to occur. A higher sigma level has lesser defects. The Six Sigma Quality level equates to 3.4 defects per million opportunities (DPMO). Five major phases cover such a strategy: · Six Sigma Deployment Strategy · Six Sigma Measurement · Six Sigma Analysis · Six Sigma Improvement · Six Sigma Control In this course, participants will learn how to use various techniques and methods applicable in these different phases. For example: Six Sigma strategy, understanding of variation, ANOVA, FMEA, Root cause analysis, Design of Experiments, Response surface methods and Reliability Engineering. Linkages with previous courses on quality and statistics will also be presented. |
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| Course literature: Park, Sung H. (2003) Six Sigma for Quality and Productivity Promotion, Asian Productivity Organization Montgomery, Douglas C. (1997) Design and Analysis of Experiments Fourth ed., John Wiley and Sons |
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| Examination: | ||||
| Project Work |
3 p |
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4,5 ECTS |
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Course language is English. Department offering the course: IKP. Director of Studies: Lars Johansson Examiner: Mattias Elg Link to the course homepage at the department Course Syllabus in Swedish |
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